NATURAL_LANG stringlengths 12 244 | SQL stringlengths 18 336 | SCHEMA stringlengths 27 355 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
Which Rank has a Time of 5:56.73? | SELECT rank FROM table_name_81 WHERE time = "5:56.73" | CREATE TABLE table_name_81 (rank VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
6254,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
3,
22557,
65,
3,
9,
2900,
13,
305,
10,
4834,
5,
4552,
58,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
11003,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
97,
3274,
96,
755,
10,
4834,
5,
4552,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Rank has Notes of fb, and a Time of 5:57.31? | SELECT rank FROM table_name_70 WHERE notes = "fb" AND time = "5:57.31" | CREATE TABLE table_name_70 (rank VARCHAR, notes VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
6254,
584,
4280,
28027,
6,
3358,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
3,
22557,
65,
2507,
7,
13,
3,
89,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
11003,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
3358,
3274,
96,
89,
115,
121,
3430,
97,
3274,
96,
755,
10,
3436,
5,
3341,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which 2007 has a Country or territory of china, and a 2002 smaller than 670,099? | SELECT MIN(2007) FROM table_name_96 WHERE country_or_territory = "china" AND 2002 < 670 OFFSET 099 | CREATE TABLE table_name_96 (country_or_territory VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
17529,
834,
127,
834,
17,
21301,
10972,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
4101,
65,
3,
9,
6993,
42,
9964,
13,
20576,
6,
11,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
27964,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
684,
834,
127,
834,
17,
21301,
10972,
3274,
96,
5675,
9,
121,
3430,
4407,
3,
2,
431,
2518,
3,
15316,
20788,
3,
632,
3264,
1,
-100,
-100,
-100,
-1... |
what is the giro wins when jerseys is 2, country is portugal and young rider is more than 0? | SELECT SUM(giro_wins) FROM table_name_29 WHERE jerseys = 2 AND country = "portugal" AND young_rider > 0 | CREATE TABLE table_name_29 (giro_wins INTEGER, young_rider VARCHAR, jerseys VARCHAR, country VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
9427,
32,
834,
3757,
7,
3,
21342,
17966,
6,
1021,
834,
4055,
49,
584,
4280,
28027,
6,
13426,
7,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
61,
3,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
9427,
32,
834,
3757,
7,
61,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
13426,
7,
3274,
204,
3430,
684,
3274,
96,
1493,
12204,
40,
121,
3430,
1021,
834,
4055,
49,
2490,
3,
632,
1,
-100,
-100... |
what is the highest jersey when points is 0, different holders is less than 3, giro wins is less than 1 and young rider is more than 1? | SELECT MAX(jerseys) FROM table_name_72 WHERE points = 0 AND different_holders < 3 AND giro_wins < 1 AND young_rider > 1 | CREATE TABLE table_name_72 (jerseys INTEGER, young_rider VARCHAR, giro_wins VARCHAR, points VARCHAR, different_holders VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
12488,
7,
15,
63,
7,
3,
21342,
17966,
6,
1021,
834,
4055,
49,
584,
4280,
28027,
6,
3,
9427,
32,
834,
3757,
7,
584,
4280,
28027,
6,
979,
584,
4280,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
12488,
7,
15,
63,
7,
61,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
979,
3274,
3,
632,
3430,
315,
834,
5235,
7,
3,
2,
220,
3430,
3,
9427,
32,
834,
3757,
7,
3,
2,
209,
3430,
1021,
834,
4... |
how many times is young rider more than 0, country is france and points less than 1? | SELECT COUNT(jerseys) FROM table_name_78 WHERE young_rider > 0 AND country = "france" AND points < 1 | CREATE TABLE table_name_78 (jerseys VARCHAR, points VARCHAR, young_rider VARCHAR, country VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3940,
41,
12488,
7,
15,
63,
7,
584,
4280,
28027,
6,
979,
584,
4280,
28027,
6,
1021,
834,
4055,
49,
584,
4280,
28027,
6,
684,
584,
4280,
28027,
61,
3,
32105,
32... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
12488,
7,
15,
63,
7,
61,
21680,
953,
834,
4350,
834,
3940,
549,
17444,
427,
1021,
834,
4055,
49,
2490,
3,
632,
3430,
684,
3274,
96,
89,
5219,
121,
3430,
979,
3,
2,
209,
1,
-100,
-100,
-100,
-10... |
what is the least different holders when the country is ireland and giro wins is less than 1? | SELECT MIN(different_holders) FROM table_name_93 WHERE country = "ireland" AND giro_wins < 1 | CREATE TABLE table_name_93 (different_holders INTEGER, country VARCHAR, giro_wins VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4271,
41,
25880,
834,
5235,
7,
3,
21342,
17966,
6,
684,
584,
4280,
28027,
6,
3,
9427,
32,
834,
3757,
7,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
25880,
834,
5235,
7,
61,
21680,
953,
834,
4350,
834,
4271,
549,
17444,
427,
684,
3274,
96,
2060,
40,
232,
121,
3430,
3,
9427,
32,
834,
3757,
7,
3,
2,
209,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is Brian Mateer's Speed? | SELECT speed FROM table_name_1 WHERE rider = "brian mateer" | CREATE TABLE table_name_1 (speed VARCHAR, rider VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
536,
41,
9993,
584,
4280,
28027,
6,
2564,
52,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
7798,
16555,
49,
31,
7,
9913,
58,
1,
0,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1634,
21680,
953,
834,
4350,
834,
536,
549,
17444,
427,
2564,
52,
3274,
96,
2160,
152,
3,
5058,
49,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Rank of the Rider with a Speed of 111.072mph in Team 250CC Honda? | SELECT AVG(rank) FROM table_name_36 WHERE team = "250cc honda" AND speed = "111.072mph" | CREATE TABLE table_name_36 (rank INTEGER, team VARCHAR, speed VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
6254,
3,
21342,
17966,
6,
372,
584,
4280,
28027,
6,
1634,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
3,
22557,
13,
8,
25218,
28,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
6254,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
372,
3274,
96,
11434,
75,
75,
3,
31782,
121,
3430,
1634,
3274,
96,
2596,
12734,
5865,
7656,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What is the Nationality of the swimmer with a Time of 1:08.80? | SELECT nationality FROM table_name_6 WHERE time = "1:08.80" | CREATE TABLE table_name_6 (nationality VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
16557,
485,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
868,
485,
13,
8,
27424,
28,
3,
9,
2900,
13,
209,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1157,
485,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
97,
3274,
96,
536,
10,
15000,
2079,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is Anna Khlistunova's Nationality? | SELECT nationality FROM table_name_20 WHERE name = "anna khlistunova" | CREATE TABLE table_name_20 (nationality VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
16557,
485,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
7588,
13495,
3350,
76,
14979,
31,
7,
868,
485,
58,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1157,
485,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
564,
3274,
96,
10878,
3,
157,
107,
3350,
76,
14979,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the penalty for the DET team player Andreas Lilja? | SELECT penalty FROM table_name_42 WHERE team = "det" AND player = "andreas lilja" | CREATE TABLE table_name_42 (penalty VARCHAR, team VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4165,
41,
3208,
2920,
63,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
10736,
21,
8,
339... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
10736,
21680,
953,
834,
4350,
834,
4165,
549,
17444,
427,
372,
3274,
96,
221,
17,
121,
3430,
1959,
3274,
96,
232,
864,
7,
3,
40,
173,
1191,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the penalty for Jonathan Toews? | SELECT penalty FROM table_name_19 WHERE player = "jonathan toews" | CREATE TABLE table_name_19 (penalty VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
3208,
2920,
63,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
10736,
21,
13197,
304,
15,
210,
7,
58,
1,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
10736,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
1959,
3274,
96,
15429,
9,
6736,
12,
15,
210,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the period for Ben Eager? | SELECT period FROM table_name_49 WHERE player = "ben eager" | CREATE TABLE table_name_49 (period VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3647,
41,
4267,
32,
26,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1059,
21,
2798,
262,
9754,
58,
1,
0,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1059,
21680,
953,
834,
4350,
834,
3647,
549,
17444,
427,
1959,
3274,
96,
115,
35,
10876,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the period for the DET Team with a time of 11:27? | SELECT period FROM table_name_52 WHERE team = "det" AND time = "11:27" | CREATE TABLE table_name_52 (period VARCHAR, team VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5373,
41,
4267,
32,
26,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1059,
21,
8,
3396,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1059,
21680,
953,
834,
4350,
834,
5373,
549,
17444,
427,
372,
3274,
96,
221,
17,
121,
3430,
97,
3274,
96,
2596,
10,
2555,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What player has a penalty of holding on the DET team? | SELECT player FROM table_name_35 WHERE penalty = "holding" AND team = "det" | CREATE TABLE table_name_35 (player VARCHAR, penalty VARCHAR, team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
20846,
584,
4280,
28027,
6,
10736,
584,
4280,
28027,
6,
372,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
1959,
65,
3,
9,
10736,
13,
3609,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1959,
21680,
953,
834,
4350,
834,
2469,
549,
17444,
427,
10736,
3274,
96,
21647,
121,
3430,
372,
3274,
96,
221,
17,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What time does Dustin Byfuglien have in 1st period? | SELECT time FROM table_name_36 WHERE period = "1st" AND player = "dustin byfuglien" | CREATE TABLE table_name_36 (time VARCHAR, period VARCHAR, player VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
715,
584,
4280,
28027,
6,
1059,
584,
4280,
28027,
6,
1959,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
97,
405,
20708,
77,
938,
14165,
1048... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
97,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
1059,
3274,
96,
536,
7,
17,
121,
3430,
1959,
3274,
96,
8655,
17,
77,
57,
14165,
10487,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which competition has a result of 2-0 in Ferreiras with an assist/pass by Casey Nogueira? | SELECT competition FROM table_name_85 WHERE result = "2-0" AND location = "ferreiras" AND assist_pass = "casey nogueira" | CREATE TABLE table_name_85 (competition VARCHAR, assist_pass VARCHAR, result VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
287,
4995,
4749,
584,
4280,
28027,
6,
2094,
834,
3968,
584,
4280,
28027,
6,
741,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2259,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
741,
3274,
96,
19423,
121,
3430,
1128,
3274,
96,
1010,
52,
15809,
7,
121,
3430,
2094,
834,
3968,
3274,
96,
6701,
63,
150,
1744,
15809,
121,
1,
-100,
-100,
-10... |
What is the score with the Lineup match reports? | SELECT score FROM table_name_5 WHERE lineup = "match reports" | CREATE TABLE table_name_5 (score VARCHAR, lineup VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
7,
9022,
584,
4280,
28027,
6,
15561,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2604,
28,
8,
4919,
413,
1588,
2279,
58,
1,
0,
0,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
15561,
3274,
96,
19515,
2279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
On what date is there an assist/pass by Shannon Boxx? | SELECT date FROM table_name_92 WHERE assist_pass = "shannon boxx" | CREATE TABLE table_name_92 (date VARCHAR, assist_pass VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4508,
41,
5522,
584,
4280,
28027,
6,
2094,
834,
3968,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
461,
125,
833,
19,
132,
46,
2094,
87,
3968,
57,
26664,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4508,
549,
17444,
427,
2094,
834,
3968,
3274,
96,
7,
107,
17805,
1367,
226,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
Which assist/pass is in Ferreiras? | SELECT assist_pass FROM table_name_80 WHERE location = "ferreiras" | CREATE TABLE table_name_80 (assist_pass VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
6500,
7,
17,
834,
3968,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
2094,
87,
3968,
19,
16,
12762,
15809,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2094,
834,
3968,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
1128,
3274,
96,
1010,
52,
15809,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Willy Sagnol with a type as career end had what has the transfer fee? | SELECT transfer_fee FROM table_name_34 WHERE type = "career end" AND name = "willy sagnol" | CREATE TABLE table_name_34 (transfer_fee VARCHAR, type VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3710,
41,
7031,
1010,
834,
89,
15,
15,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2003,
63,
1138,
6... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2025,
834,
89,
15,
15,
21680,
953,
834,
4350,
834,
3710,
549,
17444,
427,
686,
3274,
96,
2864,
49,
414,
121,
3430,
564,
3274,
96,
8894,
63,
3,
7,
9,
6715,
40,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
Marcell Jansen with a transfer window of summer, and of transfer as type is from what nation? | SELECT nat FROM table_name_15 WHERE transfer_window = "summer" AND type = "transfer" AND name = "marcell jansen" | CREATE TABLE table_name_15 (nat VARCHAR, name VARCHAR, transfer_window VARCHAR, type VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1808,
41,
29,
144,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
6,
2025,
834,
5165,
2381,
584,
4280,
28027,
6,
686,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
29,
144,
21680,
953,
834,
4350,
834,
1808,
549,
17444,
427,
2025,
834,
5165,
2381,
3274,
96,
23541,
52,
121,
3430,
686,
3274,
96,
7031,
1010,
121,
3430,
564,
3274,
96,
1635,
8725,
3,
7066,
7,
35,
121,
1,
-100,
... |
Marcell Jansen of the nation GER has what for the type? | SELECT type FROM table_name_2 WHERE nat = "ger" AND name = "marcell jansen" | CREATE TABLE table_name_2 (type VARCHAR, nat VARCHAR, name VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
357,
41,
6137,
584,
4280,
28027,
6,
3,
29,
144,
584,
4280,
28027,
6,
564,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
19560,
40,
3049,
7,
35,
13,
8,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
686,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
3,
29,
144,
3274,
96,
1304,
121,
3430,
564,
3274,
96,
1635,
8725,
3,
7066,
7,
35,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
What player had a transfer window of winter, and free as the transfer fee? | SELECT name FROM table_name_72 WHERE transfer_window = "winter" AND transfer_fee = "free" | CREATE TABLE table_name_72 (name VARCHAR, transfer_window VARCHAR, transfer_fee VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
4350,
584,
4280,
28027,
6,
2025,
834,
5165,
2381,
584,
4280,
28027,
6,
2025,
834,
89,
15,
15,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
2025,
834,
5165,
2381,
3274,
96,
210,
3870,
121,
3430,
2025,
834,
89,
15,
15,
3274,
96,
2113,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
Which player from GER has a transfer window of summer, and a transfer fee of n/a? | SELECT name FROM table_name_85 WHERE transfer_window = "summer" AND nat = "ger" AND transfer_fee = "n/a" | CREATE TABLE table_name_85 (name VARCHAR, transfer_fee VARCHAR, transfer_window VARCHAR, nat VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
4350,
584,
4280,
28027,
6,
2025,
834,
89,
15,
15,
584,
4280,
28027,
6,
2025,
834,
5165,
2381,
584,
4280,
28027,
6,
3,
29,
144,
584,
4280,
28027,
61,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
2025,
834,
5165,
2381,
3274,
96,
23541,
52,
121,
3430,
3,
29,
144,
3274,
96,
1304,
121,
3430,
2025,
834,
89,
15,
15,
3274,
96,
29,
87,
9,
121,
1,
-100,
-10... |
What's the highest Year Left that's got a Conference Joined of Sagamore with a Year Joined larger than 1942? | SELECT MAX(year_left) FROM table_name_3 WHERE conference_joined = "sagamore" AND year_joined > 1942 | CREATE TABLE table_name_3 (year_left INTEGER, conference_joined VARCHAR, year_joined VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
519,
41,
1201,
834,
17068,
3,
21342,
17966,
6,
2542,
834,
1927,
630,
26,
584,
4280,
28027,
6,
215,
834,
1927,
630,
26,
584,
4280,
28027,
61,
3,
32105,
32106,
321... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
1201,
834,
17068,
61,
21680,
953,
834,
4350,
834,
519,
549,
17444,
427,
2542,
834,
1927,
630,
26,
3274,
96,
7,
4711,
3706,
121,
3430,
215,
834,
1927,
630,
26,
2490,
24466,
1,
-100,
-100,
-100,
-100,
... |
What's the highest Year Left for the School of Danville? | SELECT MAX(year_left) FROM table_name_81 WHERE school = "danville" | CREATE TABLE table_name_81 (year_left INTEGER, school VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
1201,
834,
17068,
3,
21342,
17966,
6,
496,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
31,
7,
8,
2030,
2929,
14298,
21,
8,
1121,
13,
2744... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
1201,
834,
17068,
61,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
496,
3274,
96,
3768,
1420,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What was lane 4's time? | SELECT time FROM table_name_70 WHERE lane = 4 | CREATE TABLE table_name_70 (time VARCHAR, lane VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
715,
584,
4280,
28027,
6,
3,
8102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
3,
8102,
314,
31,
7,
97,
58,
1,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
97,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
3,
8102,
3274,
314,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What's the part number of the processor that has an 1.8 ghz frequency and 2 × 256 kb L@ Cache? | SELECT part_number_s_ FROM table_name_56 WHERE l2_cache = "2 × 256 kb" AND frequency = "1.8 ghz" | CREATE TABLE table_name_56 (part_number_s_ VARCHAR, l2_cache VARCHAR, frequency VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
2274,
834,
5525,
1152,
834,
7,
834,
584,
4280,
28027,
6,
3,
40,
357,
834,
75,
4933,
584,
4280,
28027,
6,
7321,
584,
4280,
28027,
61,
3,
32105,
32106,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
294,
834,
5525,
1152,
834,
7,
834,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
3,
40,
357,
834,
75,
4933,
3274,
96,
357,
3,
2,
3,
19337,
3,
157,
115,
121,
3430,
7321,
3274,
96,
16253,
3,
122,
107,
172,
... |
What's the sSpec number of the processor having an ultra-low power I/O? | SELECT sspec_number FROM table_name_57 WHERE i_o_bus = "ultra-low power" | CREATE TABLE table_name_57 (sspec_number VARCHAR, i_o_bus VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3436,
41,
7,
7576,
834,
5525,
1152,
584,
4280,
28027,
6,
3,
23,
834,
32,
834,
3465,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
31,
7,
8,
3,
7,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
7,
7576,
834,
5525,
1152,
21680,
953,
834,
4350,
834,
3436,
549,
17444,
427,
3,
23,
834,
32,
834,
3465,
3274,
96,
83,
1313,
18,
3216,
579,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What the cores with a release date of February 2011 and a BGA-1023 socket? | SELECT cores FROM table_name_81 WHERE socket = "bga-1023" AND release_date = "february 2011" | CREATE TABLE table_name_81 (cores VARCHAR, socket VARCHAR, release_date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
9022,
7,
584,
4280,
28027,
6,
16197,
584,
4280,
28027,
6,
1576,
834,
5522,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
8,
2583,
7,
28,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2583,
7,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
16197,
3274,
96,
115,
122,
9,
4536,
2773,
121,
3430,
1576,
834,
5522,
3274,
96,
89,
15,
9052,
1208,
2722,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What's the L3 Cache that has a standard power I/O? | SELECT l3_cache FROM table_name_63 WHERE i_o_bus = "standard power" | CREATE TABLE table_name_63 (l3_cache VARCHAR, i_o_bus VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3891,
41,
40,
519,
834,
75,
4933,
584,
4280,
28027,
6,
3,
23,
834,
32,
834,
3465,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
31,
7,
8,
301,
519,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
40,
519,
834,
75,
4933,
21680,
953,
834,
4350,
834,
3891,
549,
17444,
427,
3,
23,
834,
32,
834,
3465,
3274,
96,
16020,
579,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What's the release date of the processor with 2.8 ghz of frequency? | SELECT release_date FROM table_name_77 WHERE frequency = "2.8 ghz" | CREATE TABLE table_name_77 (release_date VARCHAR, frequency VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4013,
41,
21019,
834,
5522,
584,
4280,
28027,
6,
7321,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
31,
7,
8,
1576,
833,
13,
8,
7502,
28,
3,
19419,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1576,
834,
5522,
21680,
953,
834,
4350,
834,
4013,
549,
17444,
427,
7321,
3274,
96,
19419,
3,
122,
107,
172,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What round was the match at Westpac Stadium that had the Newcastle Jets as the away team? | SELECT round FROM table_name_24 WHERE venue = "westpac stadium" AND away = "newcastle jets" | CREATE TABLE table_name_24 (round VARCHAR, venue VARCHAR, away VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
7775,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
6,
550,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
1751,
47,
8,
1588,
44,
1244,
5379,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
1751,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
5669,
3274,
96,
12425,
5379,
14939,
121,
3430,
550,
3274,
96,
5534,
5254,
109,
8757,
7,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
On what weekday was the match that had Perth Glory as the away team? | SELECT weekday FROM table_name_86 WHERE away = "perth glory" | CREATE TABLE table_name_86 (weekday VARCHAR, away VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
8041,
1135,
584,
4280,
28027,
6,
550,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
461,
125,
471,
1135,
47,
8,
1588,
24,
141,
22343,
9840,
651,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
471,
1135,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
550,
3274,
96,
883,
189,
12582,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the British record for the fish with a Guernsey record of 32-8-0? | SELECT british_record FROM table_name_70 WHERE guernsey_record = "32-8-0" | CREATE TABLE table_name_70 (british_record VARCHAR, guernsey_record VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
2160,
17,
1273,
834,
60,
7621,
584,
4280,
28027,
6,
3,
19645,
29,
7,
15,
63,
834,
60,
7621,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
2160,
17,
1273,
834,
60,
7621,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
3,
19645,
29,
7,
15,
63,
834,
60,
7621,
3274,
96,
2668,
6039,
18,
632,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What year was the Guernsey record of 2-3-12 set? | SELECT year FROM table_name_75 WHERE guernsey_record = "2-3-12" | CREATE TABLE table_name_75 (year VARCHAR, guernsey_record VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3072,
41,
1201,
584,
4280,
28027,
6,
3,
19645,
29,
7,
15,
63,
834,
60,
7621,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
215,
47,
8,
2846,
49,
29... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
215,
21680,
953,
834,
4350,
834,
3072,
549,
17444,
427,
3,
19645,
29,
7,
15,
63,
834,
60,
7621,
3274,
96,
357,
3486,
5947,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the guernsey record set with a fish caught at Bordeaux Harbour? | SELECT guernsey_record FROM table_name_80 WHERE location = "bordeaux harbour" | CREATE TABLE table_name_80 (guernsey_record VARCHAR, location VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
19645,
29,
7,
15,
63,
834,
60,
7621,
584,
4280,
28027,
6,
1128,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
3,
19645,
29,
7,
15,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
19645,
29,
7,
15,
63,
834,
60,
7621,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
1128,
3274,
96,
6693,
26,
9063,
26401,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
When was the film released that a less than 5038 production number and was of the character Bosko? | SELECT release_date FROM table_name_21 WHERE production_num < 5038 AND characters = "bosko" | CREATE TABLE table_name_21 (release_date VARCHAR, production_num VARCHAR, characters VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
21019,
834,
5522,
584,
4280,
28027,
6,
999,
834,
5525,
584,
4280,
28027,
6,
2850,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
366,
47,
8,
814,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0... | [
3,
23143,
14196,
1576,
834,
5522,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
999,
834,
5525,
3,
2,
943,
3747,
3430,
2850,
3274,
96,
115,
32,
17869,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
With 4645 as the production number what was the title? | SELECT title FROM table_name_4 WHERE production_num = 4645 | CREATE TABLE table_name_4 (title VARCHAR, production_num VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
591,
41,
21869,
584,
4280,
28027,
6,
999,
834,
5525,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
438,
9668,
2128,
38,
8,
999,
381,
125,
47,
8,
2233,
58,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2233,
21680,
953,
834,
4350,
834,
591,
549,
17444,
427,
999,
834,
5525,
3274,
9668,
2128,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
The film titled Bosko's fox hunt had what as the smallest production number? | SELECT MIN(production_num) FROM table_name_56 WHERE title = "bosko's fox hunt" | CREATE TABLE table_name_56 (production_num INTEGER, title VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4834,
41,
20762,
834,
5525,
3,
21342,
17966,
6,
2233,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
37,
814,
3,
10920,
1491,
17869,
31,
7,
3,
20400,
8069,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
20762,
834,
5525,
61,
21680,
953,
834,
4350,
834,
4834,
549,
17444,
427,
2233,
3274,
96,
115,
32,
17869,
31,
7,
3,
20400,
8069,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What is the smallest production number for the LT series with the Dumb Patrol title? | SELECT MIN(production_num) FROM table_name_85 WHERE series = "lt" AND title = "dumb patrol" | CREATE TABLE table_name_85 (production_num INTEGER, series VARCHAR, title VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4433,
41,
20762,
834,
5525,
3,
21342,
17966,
6,
939,
584,
4280,
28027,
6,
2233,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
3,
17924,
999,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
20762,
834,
5525,
61,
21680,
953,
834,
4350,
834,
4433,
549,
17444,
427,
939,
3274,
96,
40,
17,
121,
3430,
2233,
3274,
96,
26,
5937,
20404,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
What was the average capacity for vélez sársfield? | SELECT AVG(capacity) FROM table_name_72 WHERE home_team_s_ = "vélez sársfield" | CREATE TABLE table_name_72 (capacity INTEGER, home_team_s_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
4010,
9,
6726,
3,
21342,
17966,
6,
234,
834,
11650,
834,
7,
834,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
1348,
2614,
21,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
4010,
9,
6726,
61,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
234,
834,
11650,
834,
7,
834,
3274,
96,
8825,
40,
457,
3,
7,
2975,
52,
7,
1846,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What city was the home team Tigre? | SELECT city FROM table_name_5 WHERE home_team_s_ = "tigre" | CREATE TABLE table_name_5 (city VARCHAR, home_team_s_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
755,
41,
6726,
584,
4280,
28027,
6,
234,
834,
11650,
834,
7,
834,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
690,
47,
8,
234,
372,
2262,
3584,
58,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
690,
21680,
953,
834,
4350,
834,
755,
549,
17444,
427,
234,
834,
11650,
834,
7,
834,
3274,
96,
2880,
60,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What province is in Mendoza with a stadium feliciano gambarte? | SELECT province FROM table_name_72 WHERE city = "mendoza" AND stadium = "feliciano gambarte" | CREATE TABLE table_name_72 (province VARCHAR, city VARCHAR, stadium VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5865,
41,
1409,
2494,
565,
584,
4280,
28027,
6,
690,
584,
4280,
28027,
6,
14939,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
7985,
19,
16,
3137,
26,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
7985,
21680,
953,
834,
4350,
834,
5865,
549,
17444,
427,
690,
3274,
96,
904,
26,
13277,
121,
3430,
14939,
3274,
96,
4025,
447,
20028,
3,
8758,
1047,
17,
15,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
On what date was there a tv time of ABC 8:00pm and after week 9? | SELECT date FROM table_name_58 WHERE week > 9 AND tv_time = "abc 8:00pm" | CREATE TABLE table_name_58 (date VARCHAR, week VARCHAR, tv_time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3449,
41,
5522,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
6,
3,
17,
208,
834,
715,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
461,
125,
833,
47,
132,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
3449,
549,
17444,
427,
471,
2490,
668,
3430,
3,
17,
208,
834,
715,
3274,
96,
9,
115,
75,
3,
15692,
2028,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is total number of years that has genre of first-person shooter? | SELECT SUM(year) FROM table_name_50 WHERE genre = "first-person shooter" | CREATE TABLE table_name_50 (year INTEGER, genre VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
1201,
3,
21342,
17966,
6,
5349,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
792,
381,
13,
203,
24,
65,
5349,
13,
166,
18,
6075,
4279,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
1201,
61,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
5349,
3274,
96,
14672,
18,
6075,
4279,
49,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which year is the lowest for genre of action-adventure? | SELECT MIN(year) FROM table_name_36 WHERE genre = "action-adventure" | CREATE TABLE table_name_36 (year INTEGER, genre VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
1201,
3,
21342,
17966,
6,
5349,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
215,
19,
8,
7402,
21,
5349,
13,
1041,
18,
9,
26,
2169,
1462,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
1201,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
5349,
3274,
96,
4787,
18,
9,
26,
2169,
1462,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the "normalized" transliteration for Roman i | SELECT "normalised" AS _transliteration FROM table_name_9 WHERE roman_equivalent = "i" | CREATE TABLE table_name_9 (roman_equivalent VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1298,
41,
3522,
152,
834,
15,
1169,
15592,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
96,
12110,
1601,
121,
3017,
9842,
257,
21,
3385,
3,
2... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
96,
12110,
3375,
121,
6157,
3,
834,
7031,
9842,
257,
21680,
953,
834,
4350,
834,
1298,
549,
17444,
427,
3408,
834,
15,
1169,
15592,
3274,
96,
23,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the normal environment of occurrence that has a Proto-Germanic origin /ai/ | SELECT normal_environment_of_occurrence__in_native_words_ FROM table_name_86 WHERE proto_germanic_origin = "/ai/" | CREATE TABLE table_name_86 (normal_environment_of_occurrence__in_native_words_ VARCHAR, proto_germanic_origin VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
12110,
834,
19659,
297,
834,
858,
834,
16526,
834,
834,
77,
834,
29,
1528,
834,
6051,
7,
834,
584,
4280,
28027,
6,
23844,
834,
1304,
348,
447,
834,
32,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
1389,
834,
19659,
297,
834,
858,
834,
16526,
834,
834,
77,
834,
29,
1528,
834,
6051,
7,
834,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
23844,
834,
1304,
348,
447,
834,
32,
3380,
77,
3274,
96,
87,
9,
23,
... |
Which the lowest Against has a Status of tour match, and a Venue of ravenhill , belfast? | SELECT MIN(against) FROM table_name_66 WHERE status = "tour match" AND venue = "ravenhill , belfast" | CREATE TABLE table_name_66 (against INTEGER, status VARCHAR, venue VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3539,
41,
9,
16720,
7,
17,
3,
21342,
17966,
6,
2637,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
8,
7402,
3,
20749,
65,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
3539,
549,
17444,
427,
2637,
3274,
96,
17,
1211,
1588,
121,
3430,
5669,
3274,
96,
11852,
35,
6321,
3,
6,
36,
40,
11584,
121,
1,
-100,
-100,
-100,
-... |
Name the average Against that has a Venue of twickenham , london on 25 november 1978? | SELECT AVG(against) FROM table_name_73 WHERE venue = "twickenham , london" AND date = "25 november 1978" | CREATE TABLE table_name_73 (against INTEGER, venue VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4552,
41,
9,
16720,
7,
17,
3,
21342,
17966,
6,
5669,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
5570,
8,
1348,
3,
20749,
24,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
4552,
549,
17444,
427,
5669,
3274,
96,
17,
5981,
35,
1483,
3,
6,
3,
40,
106,
2029,
121,
3430,
833,
3274,
96,
1828,
3,
5326,
18247,
14834,
121,
1,
... |
Name the highest Against on 21 november 1978? | SELECT MAX(against) FROM table_name_30 WHERE date = "21 november 1978" | CREATE TABLE table_name_30 (against INTEGER, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1458,
41,
9,
16720,
7,
17,
3,
21342,
17966,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
5570,
8,
2030,
3,
20749,
30,
1401,
3,
5326,
18247,
14834... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
9,
16720,
7,
17,
61,
21680,
953,
834,
4350,
834,
1458,
549,
17444,
427,
833,
3274,
96,
2658,
3,
5326,
18247,
14834,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Name the Against of Venue of brewery field , bridgend? | SELECT against FROM table_name_31 WHERE venue = "brewery field , bridgend" | CREATE TABLE table_name_31 (against VARCHAR, venue VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3341,
41,
9,
16720,
7,
17,
584,
4280,
28027,
6,
5669,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
5570,
8,
3,
20749,
13,
29940,
13,
27686,
1057,
3,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
581,
21680,
953,
834,
4350,
834,
3341,
549,
17444,
427,
5669,
3274,
96,
1999,
3321,
63,
1057,
3,
6,
4716,
727,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Name the Status with an Against larger than 15? | SELECT status FROM table_name_98 WHERE against > 15 | CREATE TABLE table_name_98 (status VARCHAR, against INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
8547,
302,
584,
4280,
28027,
6,
581,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
5570,
8,
19318,
28,
46,
3,
20749,
2186,
145,
627,
58,
1,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2637,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
581,
2490,
627,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Who is the home team when the away team is newcastle united? | SELECT home_team FROM table_name_16 WHERE away_team = "newcastle united" | CREATE TABLE table_name_16 (home_team VARCHAR, away_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2938,
41,
5515,
834,
11650,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
19,
8,
234,
372,
116,
8,
550,
372,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
834,
11650,
21680,
953,
834,
4350,
834,
2938,
549,
17444,
427,
550,
834,
11650,
3274,
96,
5534,
5254,
109,
18279,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
who is the home team when the away team is wolverhampton wanderers? | SELECT home_team FROM table_name_20 WHERE away_team = "wolverhampton wanderers" | CREATE TABLE table_name_20 (home_team VARCHAR, away_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1755,
41,
5515,
834,
11650,
584,
4280,
28027,
6,
550,
834,
11650,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
113,
19,
8,
234,
372,
116,
8,
550,
372,
19... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
234,
834,
11650,
21680,
953,
834,
4350,
834,
1755,
549,
17444,
427,
550,
834,
11650,
3274,
96,
210,
32,
40,
624,
1483,
11632,
10735,
277,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
what is the date when the tie no is 9? | SELECT date FROM table_name_46 WHERE tie_no = "9" | CREATE TABLE table_name_46 (date VARCHAR, tie_no VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4448,
41,
5522,
584,
4280,
28027,
6,
6177,
834,
29,
32,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
833,
116,
8,
6177,
150,
19,
668,
58,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
833,
21680,
953,
834,
4350,
834,
4448,
549,
17444,
427,
6177,
834,
29,
32,
3274,
96,
1298,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100... |
who is the away team when the tie no is 7? | SELECT away_team FROM table_name_7 WHERE tie_no = "7" | CREATE TABLE table_name_7 (away_team VARCHAR, tie_no VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
940,
41,
8006,
834,
11650,
584,
4280,
28027,
6,
6177,
834,
29,
32,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
113,
19,
8,
550,
372,
116,
8,
6177,
150,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
550,
834,
11650,
21680,
953,
834,
4350,
834,
940,
549,
17444,
427,
6177,
834,
29,
32,
3274,
96,
940,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the score when the home team is sunderland? | SELECT score FROM table_name_91 WHERE home_team = "sunderland" | CREATE TABLE table_name_91 (score VARCHAR, home_team VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
7,
9022,
584,
4280,
28027,
6,
234,
834,
11650,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
2604,
116,
8,
234,
372,
19,
1997,
221,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2604,
21680,
953,
834,
4350,
834,
4729,
549,
17444,
427,
234,
834,
11650,
3274,
96,
7,
7248,
40,
232,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the name of the title that was directed by Friz Freleng and has a production number of 443? | SELECT title FROM table_name_81 WHERE director = "friz freleng" AND production_number = "443" | CREATE TABLE table_name_81 (title VARCHAR, director VARCHAR, production_number VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4959,
41,
21869,
584,
4280,
28027,
6,
2090,
584,
4280,
28027,
6,
999,
834,
5525,
1152,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
564,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2233,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
2090,
3274,
96,
89,
13266,
2515,
400,
1725,
121,
3430,
999,
834,
5525,
1152,
3274,
96,
3628,
519,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Which title has a production number of 627? | SELECT title FROM table_name_21 WHERE production_number = "627" | CREATE TABLE table_name_21 (title VARCHAR, production_number VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
21869,
584,
4280,
28027,
6,
999,
834,
5525,
1152,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
2233,
65,
3,
9,
999,
381,
13,
431,
2555,
5... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2233,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
999,
834,
5525,
1152,
3274,
96,
948,
2555,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
what is the film when the year is earlier than 2002 and the category is outstanding actress? | SELECT film FROM table_name_21 WHERE year < 2002 AND category = "outstanding actress" | CREATE TABLE table_name_21 (film VARCHAR, year VARCHAR, category VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2658,
41,
9988,
584,
4280,
28027,
6,
215,
584,
4280,
28027,
6,
3295,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
814,
116,
8,
215,
19,
2283,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
814,
21680,
953,
834,
4350,
834,
2658,
549,
17444,
427,
215,
3,
2,
4407,
3430,
3295,
3274,
96,
670,
11018,
15676,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What is the total latitude of the greenland township with more than 34.846 sqmi of land, a geo id less than 3805529660, and an ANSI code greater than 1036405? | SELECT COUNT(latitude) FROM table_name_45 WHERE land___sqmi__ > 34.846 AND geo_id < 3805529660 AND township = "greenland" AND ansi_code > 1036405 | CREATE TABLE table_name_45 (latitude VARCHAR, ansi_code VARCHAR, township VARCHAR, land___sqmi__ VARCHAR, geo_id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2128,
41,
521,
6592,
584,
4280,
28027,
6,
46,
7,
23,
834,
4978,
584,
4280,
28027,
6,
1511,
2009,
584,
4280,
28027,
6,
1322,
834,
834,
834,
7,
1824,
51,
23,
834... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
521,
6592,
61,
21680,
953,
834,
4350,
834,
2128,
549,
17444,
427,
1322,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
2490,
220,
27441,
4448,
3430,
9502,
834,
23,
26,
3,
2,
3,
22671,
3769,
3166,
2772... |
What is the sum of the land in sq mi with an ansi code less than 1036538, a 2010 population less than 42, a longitude greater than -99.442872, and more than 0.882 sq mi of water? | SELECT SUM(land___sqmi__) FROM table_name_36 WHERE ansi_code < 1036538 AND pop__2010_ < 42 AND longitude > -99.442872 AND water__sqmi_ > 0.882 | CREATE TABLE table_name_36 (land___sqmi__ INTEGER, water__sqmi_ VARCHAR, longitude VARCHAR, ansi_code VARCHAR, pop__2010_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
40,
232,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
3,
21342,
17966,
6,
387,
834,
834,
7,
1824,
51,
23,
834,
584,
4280,
28027,
6,
307,
20341,
584,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
40,
232,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
46,
7,
23,
834,
4978,
3,
2,
335,
10402,
3747,
3430,
2783,
834,
834,
14926,
834,
3,
2,
6... |
What is the highest water (sq mi) of the township glenila, which has more than 33.576 sq mi of land and a latitude greater than 48.832189? | SELECT MAX(water__sqmi_) FROM table_name_91 WHERE land___sqmi__ > 33.576 AND township = "glenila" AND latitude > 48.832189 | CREATE TABLE table_name_91 (water__sqmi_ INTEGER, latitude VARCHAR, land___sqmi__ VARCHAR, township VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4729,
41,
3552,
834,
834,
7,
1824,
51,
23,
834,
3,
21342,
17966,
6,
50,
6592,
584,
4280,
28027,
6,
1322,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
584,
4280,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
3552,
834,
834,
7,
1824,
51,
23,
834,
61,
21680,
953,
834,
4350,
834,
4729,
549,
17444,
427,
1322,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
2490,
220,
9285,
3959,
3430,
1511,
2009,
3274,
96,
3537,
... |
What is the sum of the 2010 population with a latitude greater than 47.710905, a longitude of -101.79876, and less than 35.695 sq mi of land? | SELECT SUM(pop__2010_) FROM table_name_64 WHERE latitude > 47.710905 AND longitude = -101.79876 AND land___sqmi__ < 35.695 | CREATE TABLE table_name_64 (pop__2010_ INTEGER, land___sqmi__ VARCHAR, latitude VARCHAR, longitude VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4389,
41,
9791,
834,
834,
14926,
834,
3,
21342,
17966,
6,
1322,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
584,
4280,
28027,
6,
50,
6592,
584,
4280,
28027,
6,
3... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
9791,
834,
834,
14926,
834,
61,
21680,
953,
834,
4350,
834,
4389,
549,
17444,
427,
50,
6592,
2490,
10635,
5,
4450,
4198,
3076,
3430,
307,
20341,
3274,
3,
4536,
18596,
3916,
3959,
3430,
1322,
834,
834,
... |
What is the lowest land in sq mi with a longitude of -99.172785 and less than 0.973 sq mi of water? | SELECT MIN(land___sqmi__) FROM table_name_27 WHERE longitude = -99.172785 AND water__sqmi_ < 0.973 | CREATE TABLE table_name_27 (land___sqmi__ INTEGER, longitude VARCHAR, water__sqmi_ VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
40,
232,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
3,
21342,
17966,
6,
307,
20341,
584,
4280,
28027,
6,
387,
834,
834,
7,
1824,
51,
23,
834,
584,
4... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
17684,
599,
40,
232,
834,
834,
834,
7,
1824,
51,
23,
834,
834,
61,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
307,
20341,
3274,
3,
18,
3264,
5,
2517,
2555,
4433,
3430,
387,
834,
834,
7,
1824,
51,
23,
... |
Who was the head coach? | SELECT name FROM table_name_19 WHERE position = "head coach" | CREATE TABLE table_name_19 (name VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
4350,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
2645,
47,
8,
819,
3763,
58,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
1102,
3274,
96,
3313,
3763,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
Who has the alma mater of Dayton ('07), and was in their 1st year at CU? | SELECT name FROM table_name_49 WHERE year_at_cu = "1st" AND alma_mater = "dayton ('07)" | CREATE TABLE table_name_49 (name VARCHAR, year_at_cu VARCHAR, alma_mater VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3647,
41,
4350,
584,
4280,
28027,
6,
215,
834,
144,
834,
1071,
584,
4280,
28027,
6,
491,
51,
9,
834,
3357,
49,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
3210... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
3647,
549,
17444,
427,
215,
834,
144,
834,
1071,
3274,
96,
536,
7,
17,
121,
3430,
491,
51,
9,
834,
3357,
49,
3274,
96,
1135,
17,
106,
41,
31,
4560,
61,
121,
1,
-100,
-100,
-100,
... |
What year at CU is the person in video services with an experience less than 1? | SELECT year_at_cu FROM table_name_8 WHERE experience < 1 AND position = "video services" | CREATE TABLE table_name_8 (year_at_cu VARCHAR, experience VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
927,
41,
1201,
834,
144,
834,
1071,
584,
4280,
28027,
6,
351,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
215,
44,
3,
52... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
215,
834,
144,
834,
1071,
21680,
953,
834,
4350,
834,
927,
549,
17444,
427,
351,
3,
2,
209,
3430,
1102,
3274,
96,
17241,
364,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
The graduate assistant who was in the 1st year at CU has what experience? | SELECT experience FROM table_name_29 WHERE year_at_cu = "1st" AND position = "graduate assistant" | CREATE TABLE table_name_29 (experience VARCHAR, year_at_cu VARCHAR, position VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3166,
41,
22602,
584,
4280,
28027,
6,
215,
834,
144,
834,
1071,
584,
4280,
28027,
6,
1102,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
37,
5213,
6165,
113... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
351,
21680,
953,
834,
4350,
834,
3166,
549,
17444,
427,
215,
834,
144,
834,
1071,
3274,
96,
536,
7,
17,
121,
3430,
1102,
3274,
96,
17079,
6165,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What person has the alma mater of Eastern Nazarene ('74), and greater than 19 experience? | SELECT name FROM table_name_86 WHERE experience > 19 AND alma_mater = "eastern nazarene ('74)" | CREATE TABLE table_name_86 (name VARCHAR, experience VARCHAR, alma_mater VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
4350,
584,
4280,
28027,
6,
351,
584,
4280,
28027,
6,
491,
51,
9,
834,
3357,
49,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
568,
65,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
564,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
351,
2490,
957,
3430,
491,
51,
9,
834,
3357,
49,
3274,
96,
15,
9,
13072,
28577,
9,
1536,
15,
41,
31,
4581,
61,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the total engine capacity of the a4 transmission, which has an urban mpg-US greater than 19, an mpg-us extra-urban greater than 38.6, and an aveo model? | SELECT COUNT(engine_capacity) FROM table_name_50 WHERE transmission = "a4" AND mpg_us_urban > 19 AND mpg_us_extra_urban > 38.6 AND model = "aveo" | CREATE TABLE table_name_50 (engine_capacity VARCHAR, model VARCHAR, mpg_us_extra_urban VARCHAR, transmission VARCHAR, mpg_us_urban VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
20165,
834,
4010,
9,
6726,
584,
4280,
28027,
6,
825,
584,
4280,
28027,
6,
3,
1167,
122,
834,
302,
834,
25666,
834,
19413,
584,
4280,
28027,
6,
5790,
58... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
2847,
17161,
599,
20165,
834,
4010,
9,
6726,
61,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
5790,
3274,
96,
9,
20364,
3430,
3,
1167,
122,
834,
302,
834,
19413,
2490,
957,
3430,
3,
1167,
122,
834,
302,
834,
... |
What is the highest engine capacity with a bmw manufacturer, an mpg-UK extra-urban of 52.3, a 176 CO 2 g/km, and an mpg-us urban greater than 27.3? | SELECT MAX(engine_capacity) FROM table_name_25 WHERE manufacturer = "bmw" AND mpg_uk_extra_urban = 52.3 AND co_2_g_km = 176 AND mpg_us_urban > 27.3 | CREATE TABLE table_name_25 (engine_capacity INTEGER, mpg_us_urban VARCHAR, co_2_g_km VARCHAR, manufacturer VARCHAR, mpg_uk_extra_urban VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1828,
41,
20165,
834,
4010,
9,
6726,
3,
21342,
17966,
6,
3,
1167,
122,
834,
302,
834,
19413,
584,
4280,
28027,
6,
576,
834,
357,
834,
122,
834,
5848,
584,
4280,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
4800,
4,
599,
20165,
834,
4010,
9,
6726,
61,
21680,
953,
834,
4350,
834,
1828,
549,
17444,
427,
4818,
3274,
96,
29471,
121,
3430,
3,
1167,
122,
834,
1598,
834,
25666,
834,
19413,
3274,
305,
18561,
3430,
576,
834,
35... |
What is the mpg-uk combined with an mpg-uk urban (cold) greater than 26.6, a m5 transmission, a diesel fuel type, and an engine capacity less than 1560? | SELECT mpg_uk_combined FROM table_name_89 WHERE mpg_uk_urban__cold_ > 26.6 AND transmission = "m5" AND fuel_type = "diesel" AND engine_capacity < 1560 | CREATE TABLE table_name_89 (mpg_uk_combined VARCHAR, engine_capacity VARCHAR, fuel_type VARCHAR, mpg_uk_urban__cold_ VARCHAR, transmission VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3914,
41,
1167,
122,
834,
1598,
834,
287,
12712,
26,
584,
4280,
28027,
6,
1948,
834,
4010,
9,
6726,
584,
4280,
28027,
6,
2914,
834,
6137,
584,
4280,
28027,
6,
3,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
1167,
122,
834,
1598,
834,
287,
12712,
26,
21680,
953,
834,
4350,
834,
3914,
549,
17444,
427,
3,
1167,
122,
834,
1598,
834,
19413,
834,
834,
3297,
26,
834,
2490,
204,
28833,
3430,
5790,
3274,
96,
51,
17395,
3430,... |
What is the l/100km urban (cold) with a CO 2 g/km less than 222, an mpg-us urban greater than 17.8, an mpg-uk extra-urban of 55.4, and an engine capacity greater than 1560? | SELECT l_100km_urban__cold_ FROM table_name_24 WHERE co_2_g_km < 222 AND mpg_us_urban > 17.8 AND mpg_uk_extra_urban = 55.4 AND engine_capacity > 1560 | CREATE TABLE table_name_24 (l_100km_urban__cold_ VARCHAR, engine_capacity VARCHAR, mpg_uk_extra_urban VARCHAR, co_2_g_km VARCHAR, mpg_us_urban VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
40,
834,
2915,
5848,
834,
19413,
834,
834,
3297,
26,
834,
584,
4280,
28027,
6,
1948,
834,
4010,
9,
6726,
584,
4280,
28027,
6,
3,
1167,
122,
834,
1598,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
40,
834,
2915,
5848,
834,
19413,
834,
834,
3297,
26,
834,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
576,
834,
357,
834,
122,
834,
5848,
3,
2,
3,
26144,
3430,
3,
1167,
122,
834,
302,
834,
19413,
2490,
... |
What model has a g green rating, has chrysler jeep as a manufacturer, has an l/100km urban (cold) less than 18, and has an mpg-uk combined of 27.7? | SELECT model FROM table_name_6 WHERE green_rating = "g" AND manufacturer = "chrysler jeep" AND l_100km_urban__cold_ < 18 AND mpg_uk_combined = 27.7 | CREATE TABLE table_name_6 (model VARCHAR, mpg_uk_combined VARCHAR, l_100km_urban__cold_ VARCHAR, green_rating VARCHAR, manufacturer VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
948,
41,
21770,
584,
4280,
28027,
6,
3,
1167,
122,
834,
1598,
834,
287,
12712,
26,
584,
4280,
28027,
6,
3,
40,
834,
2915,
5848,
834,
19413,
834,
834,
3297,
26,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
825,
21680,
953,
834,
4350,
834,
948,
549,
17444,
427,
1442,
834,
52,
1014,
3274,
96,
122,
121,
3430,
4818,
3274,
96,
524,
651,
7,
1171,
528,
15,
102,
121,
3430,
3,
40,
834,
2915,
5848,
834,
19413,
834,
834,
3297,... |
what is the league cup apps when the total goals is less than 2 and the total apps is 12? | SELECT league_cup_apps FROM table_name_54 WHERE total_goals < 2 AND total_apps = "12" | CREATE TABLE table_name_54 (league_cup_apps VARCHAR, total_goals VARCHAR, total_apps VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
5062,
41,
29512,
834,
4658,
834,
3096,
7,
584,
4280,
28027,
6,
792,
834,
839,
5405,
584,
4280,
28027,
6,
792,
834,
3096,
7,
584,
4280,
28027,
61,
3,
32105,
32106... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
5533,
834,
4658,
834,
3096,
7,
21680,
953,
834,
4350,
834,
5062,
549,
17444,
427,
792,
834,
839,
5405,
3,
2,
204,
3430,
792,
834,
3096,
7,
3274,
96,
2122,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-1... |
what is the average ga cup goals when the league cup apps is 2, the fa cup apps is 3 and the league goals is 3? | SELECT AVG(fa_cup_goals) FROM table_name_96 WHERE league_cup_apps = "2" AND fa_cup_apps = "3" AND league_goals = 3 | CREATE TABLE table_name_96 (fa_cup_goals INTEGER, league_goals VARCHAR, league_cup_apps VARCHAR, fa_cup_apps VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
89,
9,
834,
4658,
834,
839,
5405,
3,
21342,
17966,
6,
5533,
834,
839,
5405,
584,
4280,
28027,
6,
5533,
834,
4658,
834,
3096,
7,
584,
4280,
28027,
6,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
71,
17217,
599,
89,
9,
834,
4658,
834,
839,
5405,
61,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
5533,
834,
4658,
834,
3096,
7,
3274,
96,
357,
121,
3430,
3,
89,
9,
834,
4658,
834,
3096,
7,
3274,
96,
519,... |
what is the highest fa cup goals when flt goals is more than 0? | SELECT MAX(fa_cup_goals) FROM table_name_96 WHERE flt_goals > 0 | CREATE TABLE table_name_96 (fa_cup_goals INTEGER, flt_goals INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
89,
9,
834,
4658,
834,
839,
5405,
3,
21342,
17966,
6,
3,
89,
40,
17,
834,
839,
5405,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0... | [
3,
23143,
14196,
4800,
4,
599,
89,
9,
834,
4658,
834,
839,
5405,
61,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
3,
89,
40,
17,
834,
839,
5405,
2490,
3,
632,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
what is the total apps when the league apps is 4 (2)? | SELECT total_apps FROM table_name_80 WHERE league_apps = "4 (2)" | CREATE TABLE table_name_80 (total_apps VARCHAR, league_apps VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
235,
1947,
834,
3096,
7,
584,
4280,
28027,
6,
5533,
834,
3096,
7,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
125,
19,
8,
792,
4050,
116,
8,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
792,
834,
3096,
7,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
5533,
834,
3096,
7,
3274,
96,
591,
6499,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How much Silver has a Total larger than 9, and a Gold of 14? | SELECT COUNT(silver) FROM table_name_44 WHERE total > 9 AND gold = 14 | CREATE TABLE table_name_44 (silver VARCHAR, total VARCHAR, gold VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3628,
41,
7,
173,
624,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
6,
2045,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
231,
5642,
65,
3,
9,
9273,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
7,
173,
624,
61,
21680,
953,
834,
4350,
834,
3628,
549,
17444,
427,
792,
2490,
668,
3430,
2045,
3274,
968,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
Which Rank has a Total larger than 9, and a Gold larger than 6? | SELECT rank FROM table_name_24 WHERE total > 9 AND gold > 6 | CREATE TABLE table_name_24 (rank VARCHAR, total VARCHAR, gold VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2266,
41,
6254,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
6,
2045,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
4073,
3,
22557,
65,
3,
9,
9273,
2186,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
11003,
21680,
953,
834,
4350,
834,
2266,
549,
17444,
427,
792,
2490,
668,
3430,
2045,
2490,
431,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
How much Silver has a Rank of 4, and a Bronze smaller than 12? | SELECT COUNT(silver) FROM table_name_36 WHERE rank = "4" AND bronze < 12 | CREATE TABLE table_name_36 (silver VARCHAR, rank VARCHAR, bronze VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
7,
173,
624,
584,
4280,
28027,
6,
11003,
584,
4280,
28027,
6,
13467,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
231,
5642,
65,
3,
9,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
2847,
17161,
599,
7,
173,
624,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
11003,
3274,
96,
20364,
3430,
13467,
3,
2,
586,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
How many bronzes have a Total of 9? | SELECT SUM(bronze) FROM table_name_68 WHERE total = 9 | CREATE TABLE table_name_68 (bronze INTEGER, total VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3651,
41,
13711,
776,
3,
21342,
17966,
6,
792,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
186,
13467,
7,
43,
3,
9,
9273,
13,
668,
58,
1,
0,
0,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
13711,
776,
61,
21680,
953,
834,
4350,
834,
3651,
549,
17444,
427,
792,
3274,
668,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
How much Gold has a Nation of mongolia, and a Total larger than 18? | SELECT SUM(gold) FROM table_name_37 WHERE nation = "mongolia" AND total > 18 | CREATE TABLE table_name_37 (gold INTEGER, nation VARCHAR, total VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4118,
41,
14910,
3,
21342,
17966,
6,
2982,
584,
4280,
28027,
6,
792,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
571,
231,
2540,
65,
3,
9,
11046,
13,
19... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
14910,
61,
21680,
953,
834,
4350,
834,
4118,
549,
17444,
427,
2982,
3274,
96,
2157,
7579,
23,
9,
121,
3430,
792,
2490,
507,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the Lok Sabha for Dravida Munnetra Kazhagam, in 1999-04? | SELECT lok_sabha FROM table_name_13 WHERE party_affiliation = "dravida munnetra kazhagam" AND duration = "1999-04" | CREATE TABLE table_name_13 (lok_sabha VARCHAR, party_affiliation VARCHAR, duration VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2368,
41,
40,
1825,
834,
7,
9,
115,
1024,
584,
4280,
28027,
6,
1088,
834,
4127,
173,
23,
257,
584,
4280,
28027,
6,
8659,
584,
4280,
28027,
61,
3,
32105,
32106,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
3,
40,
1825,
834,
7,
9,
115,
1024,
21680,
953,
834,
4350,
834,
2368,
549,
17444,
427,
1088,
834,
4127,
173,
23,
257,
3274,
96,
3515,
6961,
9,
13844,
29,
15,
1313,
3,
1258,
172,
1024,
8758,
121,
3430,
8659,
3274,
... |
What is the duration when Lok Sabha shows fifth? | SELECT duration FROM table_name_86 WHERE lok_sabha = "fifth" | CREATE TABLE table_name_86 (duration VARCHAR, lok_sabha VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3840,
41,
1259,
2661,
584,
4280,
28027,
6,
3,
40,
1825,
834,
7,
9,
115,
1024,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
8659,
116,
19863,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
8659,
21680,
953,
834,
4350,
834,
3840,
549,
17444,
427,
3,
40,
1825,
834,
7,
9,
115,
1024,
3274,
96,
89,
99,
189,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What was the result for the game played on December 20, 1970? | SELECT result FROM table_name_50 WHERE date = "december 20, 1970" | CREATE TABLE table_name_50 (result VARCHAR, date VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
60,
7,
83,
17,
584,
4280,
28027,
6,
833,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
741,
21,
8,
467,
1944,
30,
1882,
16047,
743... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
741,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
833,
3274,
96,
221,
75,
18247,
16047,
7434,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What was the result for week 2? | SELECT result FROM table_name_50 WHERE week = 2 | CREATE TABLE table_name_50 (result VARCHAR, week VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1752,
41,
60,
7,
83,
17,
584,
4280,
28027,
6,
471,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
47,
8,
741,
21,
471,
204,
58,
1,
0,
0,
0,
0,
0... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
741,
21680,
953,
834,
4350,
834,
1752,
549,
17444,
427,
471,
3274,
204,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the rank of the athletes that have Notes of fb, and a Time of 6:47.30? | SELECT SUM(rank) FROM table_name_36 WHERE notes = "fb" AND time = "6:47.30" | CREATE TABLE table_name_36 (rank INTEGER, notes VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
6254,
3,
21342,
17966,
6,
3358,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
11003,
13,
8,
9227,
24,
43,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0... | [
3,
23143,
14196,
180,
6122,
599,
6254,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
3358,
3274,
96,
89,
115,
121,
3430,
97,
3274,
96,
948,
10,
4177,
5,
1458,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the least rank for athletes with a time of 6:36.65? | SELECT MIN(rank) FROM table_name_80 WHERE time = "6:36.65" | CREATE TABLE table_name_80 (rank INTEGER, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2079,
41,
6254,
3,
21342,
17966,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
709,
11003,
21,
9227,
28,
3,
9,
97,
13,
431,
10,
3420,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
3,
17684,
599,
6254,
61,
21680,
953,
834,
4350,
834,
2079,
549,
17444,
427,
97,
3274,
96,
948,
10,
3420,
5,
4122,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the average react for a rank more than 8? | SELECT AVG(react) FROM table_name_36 WHERE rank > 8 | CREATE TABLE table_name_36 (react INTEGER, rank INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
41,
60,
2708,
3,
21342,
17966,
6,
11003,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
1348,
8922,
21,
3,
9,
11003,
72,
145,
505,
58,
1... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
71,
17217,
599,
60,
2708,
61,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
11003,
2490,
505,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the highest rank for the react of 0.198, and the time more than 20.42? | SELECT MAX(rank) FROM table_name_4 WHERE react = 0.198 AND time > 20.42 | CREATE TABLE table_name_4 (rank INTEGER, react VARCHAR, time VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
591,
41,
6254,
3,
21342,
17966,
6,
8922,
584,
4280,
28027,
6,
97,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
19,
8,
2030,
11003,
21,
8,
8922,
13,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
4800,
4,
599,
6254,
61,
21680,
953,
834,
4350,
834,
591,
549,
17444,
427,
8922,
3274,
4097,
24151,
3430,
97,
2490,
460,
5,
4165,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
... |
What is the sum of time with a lane larger than 6, a nationality of canada, and the react smaller than 0.151? | SELECT SUM(time) FROM table_name_70 WHERE lane > 6 AND nationality = "canada" AND react < 0.151 | CREATE TABLE table_name_70 (time INTEGER, react VARCHAR, lane VARCHAR, nationality VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2518,
41,
715,
3,
21342,
17966,
6,
8922,
584,
4280,
28027,
6,
3,
8102,
584,
4280,
28027,
6,
1157,
485,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
180,
6122,
599,
715,
61,
21680,
953,
834,
4350,
834,
2518,
549,
17444,
427,
3,
8102,
2490,
431,
3430,
1157,
485,
3274,
96,
658,
18089,
121,
3430,
8922,
3,
2,
4097,
26578,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,... |
What human gene has a yeast ortholog of RAD26? | SELECT human_gene__protein_ FROM table_name_41 WHERE yeast_ortholog = "rad26" | CREATE TABLE table_name_41 (human_gene__protein_ VARCHAR, yeast_ortholog VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4853,
41,
12450,
834,
729,
15,
834,
834,
23083,
834,
584,
4280,
28027,
6,
17937,
834,
127,
189,
32,
2152,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
936,
834,
729,
15,
834,
834,
23083,
834,
21680,
953,
834,
4350,
834,
4853,
549,
17444,
427,
17937,
834,
127,
189,
32,
2152,
3274,
96,
5672,
2688,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-... |
What is the human gene that has a mouse ortholog of LIG1? | SELECT human_gene__protein_ FROM table_name_27 WHERE mouse_ortholog = "lig1" | CREATE TABLE table_name_27 (human_gene__protein_ VARCHAR, mouse_ortholog VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2555,
41,
12450,
834,
729,
15,
834,
834,
23083,
834,
584,
4280,
28027,
6,
8429,
834,
127,
189,
32,
2152,
584,
4280,
28027,
61,
3,
32105,
32106,
32107,
32106,
363,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0,
0... | [
3,
23143,
14196,
936,
834,
729,
15,
834,
834,
23083,
834,
21680,
953,
834,
4350,
834,
2555,
549,
17444,
427,
8429,
834,
127,
189,
32,
2152,
3274,
96,
2825,
536,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-10... |
What is the yeast ortholog that has a subpathway of GGR and GeneCards entry CETN2? | SELECT yeast_ortholog FROM table_name_19 WHERE subpathway = "ggr" AND genecards_entry = "cetn2" | CREATE TABLE table_name_19 (yeast_ortholog VARCHAR, subpathway VARCHAR, genecards_entry VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
63,
11535,
834,
127,
189,
32,
2152,
584,
4280,
28027,
6,
769,
8292,
1343,
584,
4280,
28027,
6,
6510,
6043,
7,
834,
295,
651,
584,
4280,
28027,
61,
3,
... | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1... | [
3,
23143,
14196,
17937,
834,
127,
189,
32,
2152,
21680,
953,
834,
4350,
834,
2294,
549,
17444,
427,
769,
8292,
1343,
3274,
96,
4102,
52,
121,
3430,
6510,
6043,
7,
834,
295,
651,
3274,
96,
9113,
29,
357,
121,
1,
-100,
-100,
-100,
-... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.